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Record W1988669246 · doi:10.1123/japa.2014-0169

Association Between Body Mass Index, Physical Activity, and Health-Related Quality of Life in Canadian Adults

2015· article· en· W1988669246 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Aging and Physical Activity · 2015
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsYork University
Fundersnot available
KeywordsUnderweightMedicineBody mass indexOverweightObesityQuality of life (healthcare)Physical activityGerontologyLogistic regressionHealth related quality of lifeOddsDemographyPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Obesity is associated with impairments in health-related quality of life (HRQL), whereas physical activity (PA) is a promoter of HRQL. PURPOSE: The aim of this study was to investigate the interaction between BMI and PA with HRQL in younger and older Canadian adults. METHODS: Data from the 2012 annual component of the Canadian Community Health Survey (N = 48,041; ≥ 30 years) were used to capture self-reported body mass index (BMI- kg/m2), PA (kcal/kg/day, KKD), and HRQL. Interactions between PA and age on the BMI and HRQL relationship were assessed using general linear models and logistic regression. RESULTS: Those younger (younger: μ = 0.79 ± 0.02; older: μ = 0.70 ± 0.02) and more active (active: μ = 0.82 ± 0.02; moderately active: μ = 0.77 ± 0.03; inactive: μ = 0.73 ± 0.01) reported higher HRQL. Older inactive underweight, normal weight, and overweight adults have lower odds of high HRQL. CONCLUSION: PA was associated with higher HRQL in younger adults. In older adults, BMI and PA influenced HRQL.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.375
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it